The developer will collaborate on product vision and develop complex, scalable backend solutions using .NET. They are also responsible for ensuring code quality through reviews, designing secure APIs, and mentoring less experienced team members.
Lead product design projects from discovery to final delivery while aligning business objectives with innovative design solutions. Oversee design workflows, mentor the team, and utilize data-driven insights to optimize user experience.
Define enterprise and solution architectures aligned with organizational strategy, lead technical discussions and decisions, and produce detailed architecture documentation. Support development teams, ensure compliance with architecture and security standards, resolve complex cloud and microservices bottlenecks, and influence the organization’s technology direction.
The Senior Data Engineer will design and implement scalable data pipelines while ensuring data integrity and availability. They will also lead observability initiatives and act as a technical reference for multidisciplinary teams to resolve complex data challenges.
Define back-end system architecture with a focus on scalability, security, and maintainability while leading technical decisions. Actively participate in hands-on development, code reviews, and mentoring the team to elevate technical standards.
The Customer Success Manager will build trust-based relationships with clients to drive platform adoption and ensure long-term value generation. They will manage the customer journey, from onboarding to identifying expansion opportunities and conducting executive business reviews.
The Tech CS will conduct technical onboardings, workshops, and demonstrations to accelerate customer adoption of the StackSpot platform. They will act as a strategic bridge between customers, Product, and Engineering teams to translate technical feedback into platform improvements.
Lead the migration of legacy databases to AWS cloud environments and mentor backend professionals on system integration. Define technical standards, document architectural decisions, and automate data flows using Springboot and messaging solutions.
The specialist will lead end-to-end data science projects, developing and deploying machine learning models with a focus on causality and scalability. They will also act as a technical reference, mentoring team members and ensuring the governance of machine learning artifacts.
The AI Developer Specialist will act as a technical reference for developing and integrating generative AI solutions, agents, and various tools. Responsibilities include designing hybrid architectures, analyzing AI performance, documenting solutions, and promoting best practices in observability and monitoring.
Develop and maintain high-performance backend services using Kotlin for critical banking core systems on AWS. Implement cloud-native solutions, manage container orchestration via Kubernetes, and ensure secure, scalable event processing with Kafka and SQS.
